A dynamical neural network model for motor cortical activity during movement: Population coding of movement trajectories
type: Item
instance of: scholarly article
title: A dynamical neural network model for motor cortical activity during movement: Population coding of movement trajectories
zbMATH Open document ID: 0784.92008
DOI: 10.1007/BF01185423
author: A. V. Lukashin
author: Apostolos P. Georgopoulos
published in: Biological Cybernetics
publication date: 1994-01-02T00:00:00Z
review text: As a dynamical model for motor cortical activity during hand movement we consider an artificial neural network that consists of extensively interconnected neuron-like units and performs the neuronal population vector operations. Local geometrical parameters of a desired curve are introduced into the network as an external input. The output of the model is a time-dependent direction and length of the neuronal population vector which is calculated as a sum of the activity of directionally tuned neurons in the ensemble. The main feature of the model is that dynamical behavior of the neuronal population vector is the result of connections between directionally tuned neurons rather than being imposed externally. The dynamics is governed by a system of coupled nonlinear differential equations.
Mathematics Subject Classification ID: 92C20
zbMATH DE Number: 474923
zbMATH Keywords: dynamical model
zbMATH Keywords: motor cortical activity
zbMATH Keywords: hand movement
zbMATH Keywords: artificial neural network
zbMATH Keywords: interconnected neuron-like units
zbMATH Keywords: directionally tuned neurons
zbMATH Keywords: coupled nonlinear differential equations
MaRDI profile type: Publication
cites work: Characteristics of Random Nets of Analog Neuron-Like Elements
cites work: Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
cites work: Neurons with graded response have collective computational properties like those of two-state neurons.
cites work: On the stochastic dynamics of neuronal interaction
full work available at URL: https://doi.org/10.1007/bf01185423
OpenAlex ID: W2117732530
description: scientific article; zbMATH DE number 474923